| Cognitive adequacy in the measurement of melodic similarity: Algorithmic vs. human judgments D Müllensiefen, K Frieler Computing in Musicology 13 (2003), 147-176, 2004 | 134 | 2004 |
| Inside the Jazzomat: New Perspectives for Jazz Research M Pfleiderer Deutsche Nationalbibliothek, 2017 | 75 | 2017 |
| What is the sound of citrus? Research on the correspondences between the perception of sound and flavor K Bronner, K Frieler, H Bruhn, R Hirt, D Piper Proceedings of the 12th International Conference of Music Perception and …, 2012 | 72 | 2012 |
| Absolute memory for pitch: A comparative replication of Levitin’s 1994 study in six European labs K Frieler, T Fischinger, K Schlemmer, K Lothwesen, K Jakubowski, ... Musicae Scientiae 17 (3), 334-349, 2013 | 65 | 2013 |
| Decoding emotions in expressive music performances: A multi-lab replication and extension study J Akkermans, R Schapiro, D Müllensiefen, K Jakubowski, D Shanahan, ... Cognition and Emotion, 2019 | 55 | 2019 |
| Intonation in unaccompanied singing: Accuracy, drift, and a model of reference pitch memory M Mauch, K Frieler, S Dixon The Journal of the Acoustical Society of America 136 (1), 401-411, 2014 | 55 | 2014 |
| Modelling experts’ notions of melodic similarity D Müllensiefen, K Frieler Musicae Scientiae 11 (1_suppl), 183-210, 2007 | 52 | 2007 |
| Optimizing measures of melodic similarity for the exploration of a large folk song database. D Müllensiefen, K Frieler ISMIR, 2004 | 52 | 2004 |
| Challenges and opportunities of predicting musical emotions with perceptual and automatized features EB Lange, K Frieler Music Perception: An Interdisciplinary Journal 36 (2), 217-242, 2018 | 42 | 2018 |
| Spontaneous motor tempo: Investigating psychological, chronobiological, and demographic factors in a large-scale online tapping experiment D Hammerschmidt, K Frieler, C Wöllner Frontiers in Psychology 12, 677201, 2021 | 41 | 2021 |
| Influence of virtual room acoustics on choir singing. T Fischinger, K Frieler, J Louhivuori Psychomusicology: Music, Mind, and Brain 25 (3), 208, 2015 | 37 | 2015 |
| Midlevel analysis of monophonic jazz solos: A new approach to the study of improvisation K Frieler, M Pfleiderer, WG Zaddach, J Abeßer Musicae Scientiae 20 (2), 143-162, 2016 | 36 | 2016 |
| Replication in music psychology K Frieler, D Müllensiefen, T Fischinger, K Schlemmer, K Jakubowski, ... Musicae Scientiae 17 (3), 265-276, 2013 | 32 | 2013 |
| Inside the Jazzomat M Pfleiderer, K Frieler, J Abeßer, WG Zaddach, B Burkhart New Perspectives for Jazz Research, 2017 | 31 | 2017 |
| Measuring melodic similarity: Human vs. algorithmic judgments D Müllensiefen, K Frieler Proceedings of the Conference on Interdisciplinary Musicology (CIM04) Graz …, 2004 | 30 | 2004 |
| Experiencing musical beauty: Emotional subtypes and their physiological and musico-acoustic correlates. D Omigie, K Frieler, C Bär, R Muralikrishnan, M Wald-Fuhrmann, ... Psychology of Aesthetics, Creativity, and the Arts 15 (2), 197, 2021 | 26 | 2021 |
| Two Web Applications for Exploring Melodic Patterns in Jazz Solos. K Frieler, F Höger, M Pfleiderer, S Dixon ISMIR, 777-783, 2018 | 25 | 2018 |
| The Jazzomat project. Issues and methods for the automatic analysis of jazz improvisations M Pfleiderer, K Frieler Concepts, experiments, and fieldwork: Studies in systematic musicology and …, 2010 | 25 | 2010 |
| Is independent creation likely to happen in pop music? K Frieler, F Riedemann Musicae Scientiae 15 (1), 17-28, 2011 | 24 | 2011 |
| Beat and meter extraction using gaussified onsets. K Frieler ISMIR, 2004 | 24 | 2004 |
Daniel MüllensiefenProfessor, Department of Psychology, Goldsmiths, University of LondonVerified email at gold.ac.uk